Triple
T1695016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krefeld |
E36636
|
entity |
| Predicate | hasCityDistrict |
P2709
|
FINISHED |
| Object |
Bockum
Bockum is a residential district of the German city of Krefeld, known for its green spaces and affluent neighborhoods.
|
E191564
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Bockum | Statement: [Krefeld, hasCityDistrict, Bockum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bockum Context triple: [Krefeld, hasCityDistrict, Bockum]
-
A.
Hodenhagen
Hodenhagen is a small municipality in Lower Saxony, Germany, known for its rural setting along the Aller River and proximity to attractions like the Serengeti Park safari zoo.
-
B.
Borssum
Borssum is a district of the seaport city of Emden in Lower Saxony, Germany, known primarily as a residential area with local amenities.
-
C.
Werl
Werl is a town in North Rhine-Westphalia, Germany, known for its historical significance and regional correctional facility.
-
D.
Röcken
Röcken is a small village in Saxony-Anhalt, Germany, best known as the birthplace of the philosopher Friedrich Nietzsche.
-
E.
Soest
Soest is a historic town in North Rhine-Westphalia, Germany, known for its well-preserved medieval architecture and former significance as a Hanseatic trading center.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bockum Triple: [Krefeld, hasCityDistrict, Bockum]
Generated description
Bockum is a residential district of the German city of Krefeld, known for its green spaces and affluent neighborhoods.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bockum Target entity description: Bockum is a residential district of the German city of Krefeld, known for its green spaces and affluent neighborhoods.
-
A.
Hodenhagen
Hodenhagen is a small municipality in Lower Saxony, Germany, known for its rural setting along the Aller River and proximity to attractions like the Serengeti Park safari zoo.
-
B.
Borssum
Borssum is a district of the seaport city of Emden in Lower Saxony, Germany, known primarily as a residential area with local amenities.
-
C.
Werl
Werl is a town in North Rhine-Westphalia, Germany, known for its historical significance and regional correctional facility.
-
D.
Röcken
Röcken is a small village in Saxony-Anhalt, Germany, best known as the birthplace of the philosopher Friedrich Nietzsche.
-
E.
Soest
Soest is a historic town in North Rhine-Westphalia, Germany, known for its well-preserved medieval architecture and former significance as a Hanseatic trading center.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a886163dec8190859c514232a37a05 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa62b3b8908190afc3f9e4a384684f |
completed | March 6, 2026, 5:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad7998e1108190aa7430cd4ef887d9 |
completed | March 8, 2026, 1:28 p.m. |
| NEDg | Description generation | batch_69ad7a224d248190b0d1a7f70b76c164 |
completed | March 8, 2026, 1:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad7b4b4a208190966fa07a6f0d626e |
completed | March 8, 2026, 1:36 p.m. |
Created at: March 4, 2026, 7:30 p.m.